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Hybrid OpenCL: Connecting Different OpenCL Implementations over Network

Ryo Aoki, Shuichi Oikawa, Ryoji Tsuchiyama, Takashi Nakamura

Tags: Computer science, Heterogeneous systems, OpenCL

March 30, 2011 by hgpu

PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation

Andreas Klockner, Nicolas Pinto, Yunsup Lee, Bryan Catanzaro, Paul Ivanov, Ahmed Fasih

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Tags: Code generation, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8600 GT, nVidia GeForce 9400 M, nVidia GeForce GTX 295, nVidia GeForce GTX 480, OpenCL, Package, PyOpenCL, Python, Software Engineering, Tesla C1060

March 30, 2011 by hgpu

A Very Simple Approach for 3-D to 2-D Mapping

Sandipan Dey, Ajith Abraham, Sugata Sanyal

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Tags: Algorithms, Computer science, Graphics, OpenGL, Rendering

March 30, 2011 by hgpu

Augmented reality usage for prototyping speed up

Jiri Stastny, David Prochazka, Tomas Koubek, Jaromir Landa

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Tags: Algorithms, Computer science, Graphics, Image generation, Image processing, OpenGL

March 30, 2011 by hgpu

CuHMMer: A load-balanced CPU-GPU cooperative bioinformatics application

Ping Yao, Hong An, Mu Xu, Gu Liu, Xiaoqiang Li, Yaobin Wang, Wenting Han

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce 8800 GTX, Pattern Search

March 29, 2011 by hgpu

GPU accelerated statistical image reconstruction for Compton cameras

Van-Giang Nguyen, Soo-Jin Lee, Mi No Lee

Tags: Algorithms, Image processing, Image reconstruction

March 29, 2011 by hgpu

Multigrid on GPU: Tackling Power Grid Analysis on parallel SIMT platforms

Zhuo Feng, Peng Li

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Tags: CAD, Computational Engineering, Computer science, CUDA, nVidia, nVidia GeForce 8800 Ultra

March 29, 2011 by hgpu

Fast view synthesis using GPU for 3D display

Hong-Chang Shin, Yong-Jin Kim, H. Park, J.-I. Park

Tags: Algorithms, Computer science, Visualization

March 29, 2011 by hgpu

5.6: GPU enhancement of FDTD-PIC plasma-wave simulations

A.J. Woods, L.D. Ludeking

Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, Plasma physics

March 29, 2011 by hgpu

SAR raw signal simulation based on GPU parallel computation

Wang Bingnan, Zhang Fan, Xiang Maosheng

Tags: Algorithms, FFT, Signal processing

March 29, 2011 by hgpu

An improved visual inspection system using visual servo

Chuantao Zang, Koichi Hashimoto

Tags: Algorithms, Computer science, Rendering, SIFT

March 29, 2011 by hgpu

Rendering of 3D Dynamic Virtual Environments

Salvatore Catanese, Emilio Ferrara, Giacomo Fiumara, Francesco Pagano

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Tags: 3D Graphics and Realism, Computer science, DirectX, Games, OpenGL, Review, Virtual reality

March 29, 2011 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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high performance computing on graphics processing units: hgpu.org

Applications

Hybrid OpenCL: Connecting Different OpenCL Implementations over Network

PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation

A Very Simple Approach for 3-D to 2-D Mapping

Augmented reality usage for prototyping speed up

CuHMMer: A load-balanced CPU-GPU cooperative bioinformatics application

GPU accelerated statistical image reconstruction for Compton cameras

Multigrid on GPU: Tackling Power Grid Analysis on parallel SIMT platforms

Fast view synthesis using GPU for 3D display

5.6: GPU enhancement of FDTD-PIC plasma-wave simulations

SAR raw signal simulation based on GPU parallel computation

An improved visual inspection system using visual servo

Rendering of 3D Dynamic Virtual Environments

Recent source codes

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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